Feature Description
This tool makes it easy for you to cluster points based on distance proximity using a customizable radius parameter. The clustering algorithm identifies points within a specified radius and groups them into a single cluster center (centroid). Very useful for spatial data visualization, density analysis, map display optimization, identifying concentration areas, and reducing excessive point data. This tool is ideal for field surveys, asset inventory, point distribution analysis, geospatial data management, and preparing data for cleaner, more readable map presentations. The radius parameter can be adjusted according to your analysis needs.